Junior BI Operations Engineer

Job Summary

The role: The junior BI operations engineer will assist in monitoring, maintaining, and reporting for 24x7 Enterprise BI operations and schedules. Working under the guidance of senior team members, you will support incident and problem management, ensure smooth execution of daily ETL pipelines, and help enable data across the enterprise for reporting.

This role operates on a shift system as part of our global 24x7 BI Operations team. It is an ideal position for an early-career engineer looking to build deep expertise in data warehousing, automated ETL operations, Python scripting, and AI-driven workflows.

Your Contribution

Move fast. Speak up. Decide and own. Drive change. Exceed customer needs. These are some of the winning behaviors you ll need for success. In this role, you will:

• Operations Monitoring: Assist in daily 24x7 monitoring and operational reporting for ETL/ELT data pipelines and BI systems.
• Incident Management: Serve as 1st-level (L1) support for business users and applications-investigating, triaging, and resolving basic system alerts or job failures.
• ETL Scheduling Runbooks: Help prepare and maintain job scheduling modules; document and update runbooks with runtime statistics and operational steps.
• Knowledge Transfer: Participate in KT sessions with Data Engineering and Development teams for seamless handovers to the Ops environment.
• Automation Scripting: Support the automation of routine operational checks using Python, Shell scripting, and version control best practices via GitHub.
• AI-Assisted Operations: Leverage modern AI and LLM tools to assist in log analysis, query optimization, bug fixing, and process documentation.
• Communication: Bridge technical issues with non-technical business users with clear verbal and written communication.

Key Qualifications

Required Skills Experience

• Experience: 1 to 3 years of relevant experience in BI, Data Operations, L1/L2 Support, or Data Engineering.
• Database SQL: Foundational to working knowledge of SQL, PL/SQL, and relational database concepts.
• Data Warehousing: Basic understanding of data warehousing concepts (e.g., dimensional modeling, staging, star schema).
• Scripting Programming: Hands-on experience or working knowledge of Python and Unix/Linux Shell scripting for automation tasks.
• Version Control: Familiarity with GitHub or Git workflows for code repository management and version tracking.
• AI LLMs: Basic knowledge or practical exposure to AI Large Language Model (LLM) tools (e.g., using LLM assistants for code debugging, prompt-assisted scripting, or log pattern detection).
• Cloud Snowflake: Exposure to or working knowledge of cloud data platforms like Snowflake DB.
• ETL Scheduling Tools: Exposure to ETL tools (e.g., Pentaho Data Integration, Talend, Informatica) and job schedulers (e.g., Airflow, Control-M, Autosys).
• Support Analytical Mindset: Strong analytical and troubleshooting skills with a willingness to learn root-cause analysis and bug fixing.
• Shift Work: Willingness to work in shifts within a 24x7 operational rotation.

Preferable Skills

• Hands-on experience with Pentaho Data Integration (PDI) scheduling.
• Basic understanding of CI/CD concepts applied to data pipelines.
• Familiarity with ticketing tools like Jira, ServiceNow, or similar ITSM platforms.

Education

• Bachelor's or Master's Degree in Computer Science, Information Systems, Data Analytics, or a related technical field (or equivalent practical industry experience).

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